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README.md

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@@ -898,6 +898,13 @@ single or few interactions unbiased by the heuristics applied in normal IntaRNA.
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If you are using long RNAs, you should constraint predictions to the [regions of
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interest](#interConstr) or [constraint the seed regions](#seed).
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In summary, the following calls are equivalent.
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```sh
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IntaRNAup ...
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IntaRNA --personality=IntaRNAup ...
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IntaRNA --model=X --mode=M --accW=0 --accL=0 --intLenMax=60 --outOverlap=B ...
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```
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[![up](doc/figures/icon-up.28.png) back to overview](#overview)
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@@ -915,6 +922,13 @@ helix blocks, which is faster than the normal mode but applies more constraints.
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Thus, you should use *IntaRNAhelix* if you want to focus predictions on stable
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subinteractions (helices) and need to do it fast.
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In summary, the following calls are equivalent.
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```sh
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IntaRNAhelix ...
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IntaRNA --personality=IntaRNAhelix ...
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IntaRNA --model=B ...
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```
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[![up](doc/figures/icon-up.28.png) back to overview](#overview)
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The latter makes accessibility prediction difficult, since it is not only governed
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by thermodynamics.
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In summary, the following calls are equivalent.
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```sh
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IntaRNAduplex ...
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IntaRNA --personality=IntaRNAduplex ...
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IntaRNA --qAcc=N --tAcc=N ...
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```
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[![up](doc/figures/icon-up.28.png) back to overview](#overview)
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- [no lonely base pairs](#interConstr)
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In summary, the following calls are equivalent.
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```sh
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IntaRNAsTar ...
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IntaRNA --personality=IntaRNAsTar ...
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IntaRNA --intLenMax=60 --intLoopMax=8 --seedNoGU --seedMinPu=0.001 --outMinPu=0.001 --outNoLP --outNoGUend --outOverlap=Q --outMode=C --outCsvCols=id1,id2,start1,end1,start2,end2,E ...
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```
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[![up](doc/figures/icon-up.28.png) back to overview](#overview)
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### IntaRNAseed
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- uses [seed-only prediction mode](#predModes).
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In summary, the following calls are equivalent.
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```sh
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IntaRNAseed ...
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IntaRNA --personality=IntaRNAseed ...
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IntaRNA --mode=S ...
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```
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[![up](doc/figures/icon-up.28.png) back to overview](#overview)
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- uses [ensemble-based prediction model](#interactionModel-ssProbability).
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In summary, the following calls are equivalent.
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```sh
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IntaRNAens ...
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IntaRNA --personality=IntaRNAens ...
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IntaRNA --model=P ...
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```
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